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Proceedings Paper

Multidimensional synthetic estimation filter
Author(s): Stanley E. Monroe; Richard D. Juday
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Paper Abstract

The synthetic estimation filter (SEF) crafts an affine variation into its response to a changing parameter (e.g. scale or rotation). Sets of such filters are used in an estimation correlator to reduce the number of filters required for a given tracking accuracy. By over-specifying the system (one more SEF than parameters to be tracked), the ratio of correlation responses between filters forms a robust estimator into the spanned domain of the parameters. Previous results have dealt with a laboratory correlator which could track a single parameter. This paper explores the SEF and estimator's extension to more dimensions. A two dimensional example is given in which we show a reduction of ifiters from 25 to 3, minimally to span a 4 degree square portion of pose space.

Paper Details

Date Published: 27 December 1990
PDF: 7 pages
Proc. SPIE 1347, Optical Information Processing Systems and Architectures II, (27 December 1990); doi: 10.1117/12.23407
Show Author Affiliations
Stanley E. Monroe, Lockheed Engineering and Sciences Co. (United States)
Richard D. Juday, NASA/Johnson Space Flight Ctr. (United States)

Published in SPIE Proceedings Vol. 1347:
Optical Information Processing Systems and Architectures II
Bahram Javidi, Editor(s)

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